Archive | Natural Language Processing

7 Applications of Deep Learning for Natural Language Processing

7 Applications of Deep Learning for Natural Language Processing

The field of natural language processing is shifting from statistical methods to neural network methods. There are still many challenging problems to solve in natural language. Nevertheless, deep learning methods are achieving state-of-the-art results on some specific language problems. It is not just the performance of deep learning models on benchmark problems that is most […]

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Relationship between Induction, Deduction and Transduction

Gentle Introduction to Transduction in Machine Learning

Transduction or transductive learning are terms you may come across in applied machine learning. The term is being used with some applications of recurrent neural networks on sequence prediction problems, like some problems in the domain of natural language processing. In this post, you will discover what transduction is in machine learning. After reading this […]

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Oxford Course on Deep Learning for Natural Language Processing

Oxford Course on Deep Learning for Natural Language Processing

Deep Learning methods achieve state-of-the-art results on a suite of natural language processing problems What makes this exciting is that single models are trained end-to-end, replacing a suite of specialized statistical models. The University of Oxford in the UK teaches a course on Deep Learning for Natural Language Processing and much of the materials for […]

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Natural Language Processing with Deep Learning

Review of Stanford Course on Deep Learning for Natural Language Processing

Natural Language Processing, or NLP, is a subfield of machine learning concerned with understanding speech and text data. Statistical methods and statistical machine learning dominate the field and more recently deep learning methods have proven very effective in challenging NLP problems like speech recognition and text translation. In this post, you will discover the Stanford […]

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